Abstract
Urban expansion is a spatial and demographic process and refers to the increased importance of cities as a concentration of population within a particular economy and society. Urban expansion can be mapped, measured and modeled by using remote sensing data and GIS techniques along with statistical measures. In this study three temporal satellite images of 8 years interval (2002, 2006 and 2010) have been classified to determine the urban expansion of Kunming in eight different directions. Pearson’s chi-square test and Shannon’s entropy method have been applied to calculate the degree of freedom and degree of sprawl towards the analysis of urban expansion and the urban expansion intensity index towards the expansion rate. The result shows that the city of Kunming has a high degree of freedom, high sprawl but a decreasing tendency. With a rapid development rate, the city gradually tends to be more compact.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Maktav, D., Erbek, F.S., Jurgens, C.: Remote sensing of urban areas. International Journal of Remote Sensing. 26(4), 655–659 (2005)
Fotheringham, A.S., Wegener, M.: Spatial models and GIS: New potential and new models. Taylor and Francis, London (2000)
Páez, A., Scott, D.M.: Spatial statistics for urban analysis: a review of techniques with examples. Geo Journal 61, 53–67 (2004)
Batty, M.: GeoComputation using cellular automata. In: Openshaw, S., Abrahart, R.J. (eds.) Geocomputation, pp. 95–126. Taylor & Francis, New York (2000)
Bonham-Carter, G.F.: Geographic information systems for geoscientists: Modelling with GIS. Pergamon, Ontario (1994)
Yeh, A.G.O., Li, X.: Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogrammetric Engineering and Remote Sensing 67(1), 83–90 (2001)
Espy, W.H., Morgan, W.C., Masch, F.D.: A study of some effects of urbanization on storm runoff from a small water shed. Texas Water Development Board, Austin (1966)
Stankowski, S.J.: Population density as an indirect indicator or urban and suburban land-surface modifications. U. S. Geological Survey Professional Paper 800-B, U.S. Geological Survey (1972)
Sudhira, H.S., Ramachandra, T.V., Jagdish, K.S.: Urban sprawl: metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation 5, 29–39 (2004)
Xu, H.: A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index (MNDWI). Journal of Remote Sensing 9(5), 589–595 (2005)
Li, M., Wu, B., Yan, C., et al.: Estimation of Vegetation Fraction in the Upper Basin of Miyun Reservoir by Remote Sensing. Resources Science 26(4), 153–159 (2004)
Carlson, T.N., Arthur, S.T.: The Impact of Land Use land Cover Changes Due to Urbanization on Surface Microclimate and Hydrology: A Satellite Perspective. Global and Planetary Change 25, 49–65 (2000)
Owen, T.W., Carlson, T.N., Gillies, R.R.: Remotely-sensed Surface Parameters Governing Urban Climate Change. International Journal of Remote Sensing 19, 1663–1681 (1998)
Pan, J.-H., Han, W.-C.: Spatial-temporal Changes of Urban Morphology of Provincial Capital Cities or above in China. Journal of Natural Resources 28(3), 470–480 (2013)
Almeida, C.M., Monteiro, A.M.V., Mara, G., et al.: GIS and remote sensing as tools for the simulation of urban land-use change. International Journal of Remote Sensing 26(4), 759–774 (2005)
Bhatta, B., Saraswati, S., Bandyopadhyay, D.: Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Applied Geography 30(1), 96–111 (2010)
Liu, H.-H.: Remote monitoring of urban expansion and Smart Growth strategic analysis. D. Kunming University of Science and Technology, China (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ren, P., Gan, S., Yuan, X., Zong, H., Xie, X. (2013). Spatial Expansion and Sprawl Quantitative Analysis of Mountain City Built-Up Area. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-45025-9_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
eBook Packages: Computer ScienceComputer Science (R0)